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Simple linear regression can include many dependent variables in the same model.

In the Excel scatterplot shortcut described in Module 8, which trendline type should be selected for the module’s regression approach?

The null hypothesis for testing correlation is H0: ρ = __________.

The Excel function used for the simplest two-variable correlation calculation is =__________(array1,array2).

For small-sample correlation hypothesis tests, Module 8 uses degrees of freedom equal to n minus __________.

According to Module 8, the null hypothesis for testing a correlation is always:

A student says, “The standard error in regression is the same thing as the slope coefficient, so it tells us how much y changes when x increases by one unit.” Based on Module 8, why is this statement incorrect?

Given a regression model Loyalty=4.290+1.095(Price)+1.637(SR) If price decreases by 0.10 and SR increases by 0.20, what is the net predicted change in loyalty? (enter a number value with 3 decimals)

A correlation of -0.90 is stronger than a correlation of +0.80, even though it is in the opposite direction.

Module 8 suggests that good independent variables in multiple regression should generally be: